Hospitals’ challenges and Issues with Using AI

Tantangan RS menggunakan Kecerdasan Buatan AI

The implementation of Artificial Intelligence (AI) in hospitals can bring many benefits, including increased efficiency, and faster and more accurate medical decision-making. However, as it is with any other usage of technology at work, there are challenges that the hospitals may face in using AI, as follows:

Data limitation – AI requires a lot of data to learn and develop. However, in certain cases, the available medical data may be limited, incomplete, or poorly structured, impacting AI performance.

Trust – While AI can assist doctors in making decisions, it is possible that the doctors or patients may not fully trust AI’s suggestions, especially if AI produces results that differ from their intuition or judgment.

Data protection – Since the medical data is inherently very sensitive, it is important to ensure that it is well-protected from unauthorized access and use.

Training and development – AI requires special programming and training, which may require additional time and costs for hospitals. Moreover, the hospital management need to provide sufficient resources to keep the AI system up-to-date and growing over time.

Cost – Implementing AI technology in hospitals may require significant investment in infrastructure and hardware. In addition, costs of training and development can also be significant.

Regulation – Regulations and laws related to the use of AI in hospitals are constantly being strengthened. The hospitals need to ensure that they comply with all applicable laws and regulations and have clear policies on AI usage.

Effects of AI Usage on Hospital Employees

The use of AI in hospitals can have several effects on the personnel. Below are some positive and negative effects that may occur:

Positive Effects:

Increased efficiency – AI helps the hospital staff perform routine tasks faster and more efficiently, such as data analytics and insurance claim processing. Therefore they can focus on more important tasks that require human interaction.

Increased accuracy – AI can help hospital human resources to perform tasks more accurately, such as diagnosis or drug prescribing. This can reduce errors and minimize the risk of adverse events.

Career development opportunities – Hospital staff who are able to work with AI technology may have opportunities to develop their careers in healthcare technology.

Negative Effects:

Downsizing of job desks – AI can replace some tasks traditionally done by humans, such as administrative tasks and data processing. This can result in the downsizing of job desks and man power in a hospital.

Insecurity of losing job – Hospital staff who feel that their jobs are threatened by the use of AI may feel insecure in their jobs and experience stress or anxiety.

Limitations on human interaction – The use of AI can reduce human interaction in some areas, such as diagnosis and treatment. This can weaken the relationship between patients and medical staff, which may affect the quality of care and patient experience.New training and development – Hospital staff are obliged to learn to use AI technology and develop new skills to work with the system. This may require extra time and resources, which might affect their productivity and efficiency at work.

Ksatria Medical Systems (KMS) as a hospital and clinic software provider, incorporates the best practice role-based security to manage access and process of patient data. KMS integrates all points of care in the hospitals and clinics quickly and efficiently.

To learn more about KMS, we provide a free product demo session. You can select a time that best fits your schedule here. Should you have further inquiry about the features in KMS, please contact our WhatsApp number at +62-821-4520-5712 or email us at

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